Shuo Li, Department of Nuclear Engineering and Management, School of Engineering, D3, received “Excellent Presentation Award” at the International Workshop on Computational Mechanics of Granular Materials
〈Name of award and short explanation about the award〉
Excellent Presentation Award
It was given for the excellent presentation at this symposium.
〈About awarded research〉
Numerical modeling on the granular flows often suffers from the exploding computational costs, since a huge number of degrees of freedom needs to be considered when simulating a real industrial process. To address this issue, in this study, a reduced-order modeling framework was developed to simulate the granular flows. Firstly, a POD method that combines the Lanczos-based iterative algorithms, referred to as the Lanczos-based POD (LPOD), has been considered. The extracted modes are considered as a set of basis functions for spanning the reduced subspace in the reduce-order models. Then, several nonlinear approximations are considered to model the temporal characteristics of low-dimensional coefficients. This framework is shown to not only capture the dynamics of granular flows, but also reduce the calculation time by several orders of magnitude. This model would significantly contribute to the progress in the modeling and simulation of industrial granular flows.
〈Your impression & future plan〉
It is my great honor to win this award. I would like to express my sincere appreciation to every member in my lab, especially Dr. Guangtao Duan and my supervisor Prof. Mikio Sakai. For future, I will make my best effort to continue my research about the numerical simulation.